Model1_Data_Profiling

Dataset statistics

Number of variables	21
Number of observations	24728
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.1 MiB
Average record size in memory	555.1 B

Variable types

Numeric	11
Categorical	9
Boolean	1

Alerts

`Restaurant_latitude` is highly overall correlated with `Delivery_location_latitude`	High correlation
`Restaurant_longitude` is highly overall correlated with `Delivery_location_longitude`	High correlation
`Delivery_location_latitude` is highly overall correlated with `Restaurant_latitude`	High correlation
`Delivery_location_longitude` is highly overall correlated with `Restaurant_longitude`	High correlation
`Order_Hour` is highly overall correlated with `Picked_Hour` and 2 other fields	High correlation
`Picked_Hour` is highly overall correlated with `Order_Hour` and 2 other fields	High correlation
`Road_traffic_density` is highly overall correlated with `Order_Hour` and 2 other fields	High correlation
`Daytime` is highly overall correlated with `Order_Hour` and 2 other fields	High correlation
`Festival` is highly imbalanced (85.9%)	Imbalance

Reproduction

Analysis started	2023-05-19 13:09:50.730683
Analysis finished	2023-05-19 13:10:18.748160
Duration	28.02 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Delivery_person_Age
Real number (ℝ)

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.647444

Minimum	20
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	20
5-th percentile	21
Q1	25
median	30
Q3	35
95-th percentile	39
Maximum	39
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.7666027
Coefficient of variation (CV)	0.1945059
Kurtosis	-1.2134084
Mean	29.647444
Median Absolute Deviation (MAD)	5
Skewness	-0.037587693
Sum	733122
Variance	33.253707
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
37	1328	5.4%
36	1320	5.3%
35	1308	5.3%
30	1287	5.2%
34	1277	5.2%
22	1276	5.2%
38	1253	5.1%
32	1242	5.0%
39	1238	5.0%
33	1230	5.0%
Other values (10)	11969	48.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1188	4.8%
21	1163	4.7%
22	1276	5.2%
23	1176	4.8%
24	1194	4.8%
25	1209	4.9%
26	1230	5.0%
27	1190	4.8%
28	1199	4.8%
29	1229	5.0%

Value	Count	Frequency (%)
39	1238	5.0%
38	1253	5.1%
37	1328	5.4%
36	1320	5.3%
35	1308	5.3%
34	1277	5.2%
33	1230	5.0%
32	1242	5.0%
31	1191	4.8%
30	1287	5.2%

Delivery_person_Ratings
Real number (ℝ)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6314057

Minimum	2.5
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	2.5
5-th percentile	4
Q1	4.5
median	4.7
Q3	4.9
95-th percentile	5
Maximum	5
Range	2.5
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.31692082
Coefficient of variation (CV)	0.068428646
Kurtosis	4.6613926
Mean	4.6314057
Median Absolute Deviation (MAD)	0.2
Skewness	-1.7353103
Sum	114525.4
Variance	0.10043881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
4.7	4065	16.4%
4.8	4020	16.3%
4.9	3955	16.0%
4.6	3853	15.6%
5	2268	9.2%
4.5	1872	7.6%
4.3	847	3.4%
4.2	826	3.3%
4.1	807	3.3%
4.4	768	3.1%
Other values (16)	1447	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.5	9	< 0.1%
2.6	12	< 0.1%
2.7	10	< 0.1%
2.8	13	0.1%
2.9	9	< 0.1%
3	5	< 0.1%
3.1	15	0.1%
3.2	18	0.1%
3.3	14	0.1%
3.4	21	0.1%

Value	Count	Frequency (%)
5	2268	9.2%
4.9	3955	16.0%
4.8	4020	16.3%
4.7	4065	16.4%
4.6	3853	15.6%
4.5	1872	7.6%
4.4	768	3.1%
4.3	847	3.4%
4.2	826	3.3%
4.1	807	3.3%

Restaurant_latitude
Real number (ℝ)

Distinct	314
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.869995

Minimum	-9.988483
Maximum	30.905562
Zeros	0
Zeros (%)	0.0%
Negative	6
Negative (%)	< 0.1%
Memory size	193.3 KiB

Quantile statistics

Minimum	-9.988483
5-th percentile	11.016298
Q1	12.986047
median	18.994237
Q3	22.745049
95-th percentile	26.921411
Maximum	30.905562
Range	40.894045
Interquartile range (IQR)	9.759002

Descriptive statistics

Standard deviation	5.44133
Coefficient of variation (CV)	0.28835885
Kurtosis	-0.83110155
Mean	18.869995
Median Absolute Deviation (MAD)	4.364796
Skewness	0.099387426
Sum	466617.23
Variance	29.608072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.911378	139	0.6%
26.902328	135	0.5%
26.914142	135	0.5%
26.902908	132	0.5%
26.892312	132	0.5%
26.766536	131	0.5%
22.308096	130	0.5%
12.323978	130	0.5%
26.956431	129	0.5%
17.431668	129	0.5%
Other values (304)	23406	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-9.988483	1	< 0.1%
-9.982834	2	< 0.1%
-9.970717	1	< 0.1%
-9.966783	1	< 0.1%
-9.960846	1	< 0.1%
10.000706	21	0.1%
10.003064	23	0.1%
10.006881	30	0.1%
10.020683	21	0.1%
10.027014	26	0.1%

Value	Count	Frequency (%)
30.905562	29	0.1%
30.902872	23	0.1%
30.899992	30	0.1%
30.899584	30	0.1%
30.895817	23	0.1%
30.895204	27	0.1%
30.893384	30	0.1%
30.893244	27	0.1%
30.893081	29	0.1%
30.892978	24	0.1%

Restaurant_longitude
Real number (ℝ)

Distinct	314
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.905353

Minimum	72.768726
Maximum	88.433452
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	72.768726
5-th percentile	72.793616
Q1	73.899315
median	76.625861
Q3	78.375467
95-th percentile	85.325146
Maximum	88.433452
Range	15.664726
Interquartile range (IQR)	4.476152

Descriptive statistics

Standard deviation	3.4017122
Coefficient of variation (CV)	0.04423245
Kurtosis	1.5083592
Mean	76.905353
Median Absolute Deviation (MAD)	1.76753
Skewness	1.1556419
Sum	1901715.6
Variance	11.571646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75.789034	139	0.6%
75.794257	135	0.5%
75.805704	135	0.5%
75.792934	132	0.5%
75.806896	132	0.5%
75.837333	131	0.5%
73.167753	130	0.5%
76.627961	130	0.5%
75.776649	129	0.5%
78.408321	129	0.5%
Other values (304)	23406	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
72.768726	121	0.5%
72.768778	122	0.5%
72.771477	121	0.5%
72.772629	113	0.5%
72.772697	118	0.5%
72.774209	113	0.5%
72.778666	114	0.5%
72.789122	127	0.5%
72.790489	103	0.4%
72.792731	112	0.5%

Value	Count	Frequency (%)
88.433452	26	0.1%
88.433187	30	0.1%
88.400581	21	0.1%
88.393294	28	0.1%
88.368628	25	0.1%
88.366217	25	0.1%
88.365507	23	0.1%
88.364878	20	0.1%
88.364453	26	0.1%
88.362504	26	0.1%

Delivery_location_latitude
Real number (ℝ)

Distinct	3417
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.938687

Minimum	10.010706
Maximum	31.045562
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	10.010706
5-th percentile	11.076686
Q1	13.064365
median	19.084237
Q3	22.807021
95-th percentile	27.041378
Maximum	31.045562
Range	21.034856
Interquartile range (IQR)	9.742656

Descriptive statistics

Standard deviation	5.426342
Coefficient of variation (CV)	0.28652155
Kurtosis	-0.99586338
Mean	18.938687
Median Absolute Deviation (MAD)	4.334796
Skewness	0.13391731
Sum	468315.85
Variance	29.445187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.148616	17	0.1%
17.568263	17	0.1%
17.490827	16	0.1%
22.863838	16	0.1%
21.227735	16	0.1%
27.023483	16	0.1%
19.161458	16	0.1%
21.197735	16	0.1%
19.135838	16	0.1%
22.400329	16	0.1%
Other values (3407)	24566	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.010706	1	< 0.1%
10.013064	2	< 0.1%
10.016783	1	< 0.1%
10.016881	3	< 0.1%
10.020706	1	< 0.1%
10.023064	3	< 0.1%
10.026881	3	< 0.1%
10.030683	1	< 0.1%
10.030706	2	< 0.1%
10.030717	1	< 0.1%

Value	Count	Frequency (%)
31.045562	3	< 0.1%
31.042872	2	< 0.1%
31.039992	3	< 0.1%
31.039584	3	< 0.1%
31.035817	4	< 0.1%
31.035562	3	< 0.1%
31.035204	3	< 0.1%
31.033384	3	< 0.1%
31.033244	3	< 0.1%
31.033081	2	< 0.1%

Delivery_location_longitude
Real number (ℝ)

Distinct	3417
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.969204

Minimum	72.778726
Maximum	88.563452
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	72.778726
5-th percentile	72.852697
Q1	73.954337
median	76.680583
Q3	78.407865
95-th percentile	85.366967
Maximum	88.563452
Range	15.784726
Interquartile range (IQR)	4.453528

Descriptive statistics

Standard deviation	3.4018846
Coefficient of variation (CV)	0.044197997
Kurtosis	1.5059273
Mean	76.969204
Median Absolute Deviation (MAD)	1.774362
Skewness	1.1546741
Sum	1903294.5
Variance	11.572819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80.354151	17	0.1%
78.527865	17	0.1%
78.443391	16	0.1%
76.007429	16	0.1%
72.838778	16	0.1%
75.913139	16	0.1%
72.897808	16	0.1%
72.808778	16	0.1%
72.902658	16	0.1%
73.259083	16	0.1%
Other values (3407)	24566	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
72.778726	12	< 0.1%
72.778778	10	< 0.1%
72.781477	7	< 0.1%
72.782629	6	< 0.1%
72.782697	12	< 0.1%
72.784209	11	< 0.1%
72.788666	9	< 0.1%
72.788726	10	< 0.1%
72.788778	11	< 0.1%
72.791477	12	< 0.1%

Value	Count	Frequency (%)
88.563452	2	< 0.1%
88.563187	3	< 0.1%
88.543452	1	< 0.1%
88.543187	3	< 0.1%
88.530581	3	< 0.1%
88.523452	2	< 0.1%
88.523294	2	< 0.1%
88.523187	2	< 0.1%
88.513452	3	< 0.1%
88.513187	3	< 0.1%

Weather_conditions
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Stormy	4222
Fog	4170
Cloudy	4122
Windy	4093
Sunny	4067

Length

Max length	10
Median length	6
Mean length	5.8198803
Min length	3

Characters and Unicode

Total characters	143914
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fog
2nd row	Stormy
3rd row	Sandstorms
4th row	Fog
5th row	Sandstorms

Common Values

Value	Count	Frequency (%)
Stormy	4222	17.1%
Fog	4170	16.9%
Cloudy	4122	16.7%
Windy	4093	16.6%
Sunny	4067	16.4%
Sandstorms	4054	16.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
stormy	4222	17.1%
fog	4170	16.9%
cloudy	4122	16.7%
windy	4093	16.6%
sunny	4067	16.4%
sandstorms	4054	16.4%

Most occurring characters

Value	Count	Frequency (%)
o	16568	11.5%
y	16504	11.5%
n	16281	11.3%
S	12343	8.6%
d	12269	8.5%
r	8276	5.8%
m	8276	5.8%
t	8276	5.8%
u	8189	5.7%
s	8108	5.6%
Other values (7)	28824	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119186	82.8%
Uppercase Letter	24728	17.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	16568	13.9%
y	16504	13.8%
n	16281	13.7%
d	12269	10.3%
r	8276	6.9%
m	8276	6.9%
t	8276	6.9%
u	8189	6.9%
s	8108	6.8%
g	4170	3.5%
Other values (3)	12269	10.3%

Uppercase Letter

Value	Count	Frequency (%)
S	12343	49.9%
F	4170	16.9%
C	4122	16.7%
W	4093	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	143914	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	16568	11.5%
y	16504	11.5%
n	16281	11.3%
S	12343	8.6%
d	12269	8.5%
r	8276	5.8%
m	8276	5.8%
t	8276	5.8%
u	8189	5.7%
s	8108	5.6%
Other values (7)	28824	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	16568	11.5%
y	16504	11.5%
n	16281	11.3%
S	12343	8.6%
d	12269	8.5%
r	8276	5.8%
m	8276	5.8%
t	8276	5.8%
u	8189	5.7%
s	8108	5.6%
Other values (7)	28824	20.0%

Road_traffic_density
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Low	8078
Jam	7970
Medium	6240
High	2440

Length

Max length	6
Median length	3
Mean length	3.8557101
Min length	3

Characters and Unicode

Total characters	95344
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Jam
2nd row	High
3rd row	Low
4th row	Jam
5th row	Jam

Common Values

Value	Count	Frequency (%)
Low	8078	32.7%
Jam	7970	32.2%
Medium	6240	25.2%
High	2440	9.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	8078	32.7%
jam	7970	32.2%
medium	6240	25.2%
high	2440	9.9%

Most occurring characters

Value	Count	Frequency (%)
m	14210	14.9%
i	8680	9.1%
L	8078	8.5%
o	8078	8.5%
w	8078	8.5%
J	7970	8.4%
a	7970	8.4%
M	6240	6.5%
e	6240	6.5%
d	6240	6.5%
Other values (4)	13560	14.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70616	74.1%
Uppercase Letter	24728	25.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	14210	20.1%
i	8680	12.3%
o	8078	11.4%
w	8078	11.4%
a	7970	11.3%
e	6240	8.8%
d	6240	8.8%
u	6240	8.8%
g	2440	3.5%
h	2440	3.5%

Uppercase Letter

Value	Count	Frequency (%)
L	8078	32.7%
J	7970	32.2%
M	6240	25.2%
H	2440	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95344	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	14210	14.9%
i	8680	9.1%
L	8078	8.5%
o	8078	8.5%
w	8078	8.5%
J	7970	8.4%
a	7970	8.4%
M	6240	6.5%
e	6240	6.5%
d	6240	6.5%
Other values (4)	13560	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	14210	14.9%
i	8680	9.1%
L	8078	8.5%
o	8078	8.5%
w	8078	8.5%
J	7970	8.4%
a	7970	8.4%
M	6240	6.5%
e	6240	6.5%
d	6240	6.5%
Other values (4)	13560	14.2%

Vehicle_condition
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	8279
2	8230
1	8219

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	24728
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	0
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Most occurring characters

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24728	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	24728	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24728	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8279	33.5%
2	8230	33.3%
1	8219	33.2%

Type_of_order
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Meal	6270
Snack	6214
Drinks	6208
Buffet	6036

Length

Max length	6
Median length	5
Mean length	5.2415885
Min length	4

Characters and Unicode

Total characters	129614
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Snack
2nd row	Meal
3rd row	Buffet
4th row	Snack
5th row	Buffet

Common Values

Value	Count	Frequency (%)
Meal	6270	25.4%
Snack	6214	25.1%
Drinks	6208	25.1%
Buffet	6036	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
meal	6270	25.4%
snack	6214	25.1%
drinks	6208	25.1%
buffet	6036	24.4%

Most occurring characters

Value	Count	Frequency (%)
a	12484	9.6%
n	12422	9.6%
k	12422	9.6%
e	12306	9.5%
f	12072	9.3%
M	6270	4.8%
l	6270	4.8%
S	6214	4.8%
c	6214	4.8%
D	6208	4.8%
Other values (6)	36732	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104886	80.9%
Uppercase Letter	24728	19.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12484	11.9%
n	12422	11.8%
k	12422	11.8%
e	12306	11.7%
f	12072	11.5%
l	6270	6.0%
c	6214	5.9%
r	6208	5.9%
i	6208	5.9%
s	6208	5.9%
Other values (2)	12072	11.5%

Uppercase Letter

Value	Count	Frequency (%)
M	6270	25.4%
S	6214	25.1%
D	6208	25.1%
B	6036	24.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	129614	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	12484	9.6%
n	12422	9.6%
k	12422	9.6%
e	12306	9.5%
f	12072	9.3%
M	6270	4.8%
l	6270	4.8%
S	6214	4.8%
c	6214	4.8%
D	6208	4.8%
Other values (6)	36732	28.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129614	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	12484	9.6%
n	12422	9.6%
k	12422	9.6%
e	12306	9.5%
f	12072	9.3%
M	6270	4.8%
l	6270	4.8%
S	6214	4.8%
c	6214	4.8%
D	6208	4.8%
Other values (6)	36732	28.3%

Type_of_vehicle
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

motorcycle	14567
scooter	8233
electric_scooter	1928

Length

Max length	16
Median length	10
Mean length	9.4689825
Min length	7

Characters and Unicode

Total characters	234149
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	motorcycle
2nd row	motorcycle
3rd row	motorcycle
4th row	scooter
5th row	electric_scooter

Common Values

Value	Count	Frequency (%)
motorcycle	14567	58.9%
scooter	8233	33.3%
electric_scooter	1928	7.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
motorcycle	14567	58.9%
scooter	8233	33.3%
electric_scooter	1928	7.8%

Most occurring characters

Value	Count	Frequency (%)
o	49456	21.1%
c	43151	18.4%
e	28584	12.2%
t	26656	11.4%
r	26656	11.4%
l	16495	7.0%
m	14567	6.2%
y	14567	6.2%
s	10161	4.3%
i	1928	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	232221	99.2%
Connector Punctuation	1928	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	49456	21.3%
c	43151	18.6%
e	28584	12.3%
t	26656	11.5%
r	26656	11.5%
l	16495	7.1%
m	14567	6.3%
y	14567	6.3%
s	10161	4.4%
i	1928	0.8%

Connector Punctuation

Value	Count	Frequency (%)
_	1928	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	232221	99.2%
Common	1928	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	49456	21.3%
c	43151	18.6%
e	28584	12.3%
t	26656	11.5%
r	26656	11.5%
l	16495	7.1%
m	14567	6.3%
y	14567	6.3%
s	10161	4.4%
i	1928	0.8%

Common

Value	Count	Frequency (%)
_	1928	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234149	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	49456	21.1%
c	43151	18.4%
e	28584	12.2%
t	26656	11.4%
r	26656	11.4%
l	16495	7.0%
m	14567	6.2%
y	14567	6.2%
s	10161	4.3%
i	1928	0.8%

multiple_deliveries
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	15635
0	7766
2	1129
3	198

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	24728
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Most occurring characters

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24728	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	24728	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24728	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	15635	63.2%
0	7766	31.4%
2	1129	4.6%
3	198	0.8%

Festival
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	24.3 KiB

False	24235
True	493

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	24235	98.0%
True	493	2.0%

City
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Metropolitian	19053
Urban	5576
Semi-Urban	99

Length

Max length	13
Median length	13
Mean length	11.184042
Min length	5

Characters and Unicode

Total characters	276559
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Metropolitian
2nd row	Metropolitian
3rd row	Metropolitian
4th row	Metropolitian
5th row	Metropolitian

Common Values

Value	Count	Frequency (%)
Metropolitian	19053	77.1%
Urban	5576	22.5%
Semi-Urban	99	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
metropolitian	19053	77.1%
urban	5576	22.5%
semi-urban	99	0.4%

Most occurring characters

Value	Count	Frequency (%)
i	38205	13.8%
t	38106	13.8%
o	38106	13.8%
r	24728	8.9%
a	24728	8.9%
n	24728	8.9%
e	19152	6.9%
M	19053	6.9%
p	19053	6.9%
l	19053	6.9%
Other values (5)	11647	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	251633	91.0%
Uppercase Letter	24827	9.0%
Dash Punctuation	99	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	38205	15.2%
t	38106	15.1%
o	38106	15.1%
r	24728	9.8%
a	24728	9.8%
n	24728	9.8%
e	19152	7.6%
p	19053	7.6%
l	19053	7.6%
b	5675	2.3%

Uppercase Letter

Value	Count	Frequency (%)
M	19053	76.7%
U	5675	22.9%
S	99	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	99	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	276460	> 99.9%
Common	99	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	38205	13.8%
t	38106	13.8%
o	38106	13.8%
r	24728	8.9%
a	24728	8.9%
n	24728	8.9%
e	19152	6.9%
M	19053	6.9%
p	19053	6.9%
l	19053	6.9%
Other values (4)	11548	4.2%

Common

Value	Count	Frequency (%)
-	99	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	276559	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	38205	13.8%
t	38106	13.8%
o	38106	13.8%
r	24728	8.9%
a	24728	8.9%
n	24728	8.9%
e	19152	6.9%
M	19053	6.9%
p	19053	6.9%
l	19053	6.9%
Other values (5)	11647	4.2%

Time_taken (min)
Real number (ℝ)

Distinct	45
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.593699

Minimum	10
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	10
5-th percentile	13
Q1	19
median	26
Q3	33
95-th percentile	44
Maximum	54
Range	44
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	9.3327623
Coefficient of variation (CV)	0.35093885
Kurtosis	-0.35613053
Mean	26.593699
Median Absolute Deviation (MAD)	7
Skewness	0.45788754
Sum	657609
Variance	87.100453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
26	1174	4.7%
25	1118	4.5%
28	1088	4.4%
27	1080	4.4%
29	1067	4.3%
15	955	3.9%
18	952	3.8%
24	922	3.7%
19	921	3.7%
23	914	3.7%
Other values (35)	14537	58.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	343	1.4%
11	360	1.5%
12	351	1.4%
13	391	1.6%
14	357	1.4%
15	955	3.9%
16	901	3.6%
17	912	3.7%
18	952	3.8%
19	921	3.7%

Value	Count	Frequency (%)
54	47	0.2%
53	57	0.2%
52	37	0.1%
51	42	0.2%
50	39	0.2%
49	148	0.6%
48	155	0.6%
47	154	0.6%
46	166	0.7%
45	130	0.5%

Daytime
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

evening	10340
night	7807
morning	4286
afternoon	2295

Length

Max length	9
Median length	7
Mean length	6.5541896
Min length	5

Characters and Unicode

Total characters	162072
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	night
2nd row	afternoon
3rd row	morning
4th row	evening
5th row	evening

Common Values

Value	Count	Frequency (%)
evening	10340	41.8%
night	7807	31.6%
morning	4286	17.3%
afternoon	2295	9.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
evening	10340	41.8%
night	7807	31.6%
morning	4286	17.3%
afternoon	2295	9.3%

Most occurring characters

Value	Count	Frequency (%)
n	41649	25.7%
e	22975	14.2%
i	22433	13.8%
g	22433	13.8%
v	10340	6.4%
t	10102	6.2%
o	8876	5.5%
h	7807	4.8%
r	6581	4.1%
m	4286	2.6%
Other values (2)	4590	2.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	162072	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	41649	25.7%
e	22975	14.2%
i	22433	13.8%
g	22433	13.8%
v	10340	6.4%
t	10102	6.2%
o	8876	5.5%
h	7807	4.8%
r	6581	4.1%
m	4286	2.6%
Other values (2)	4590	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	162072	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	41649	25.7%
e	22975	14.2%
i	22433	13.8%
g	22433	13.8%
v	10340	6.4%
t	10102	6.2%
o	8876	5.5%
h	7807	4.8%
r	6581	4.1%
m	4286	2.6%
Other values (2)	4590	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	162072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	41649	25.7%
e	22975	14.2%
i	22433	13.8%
g	22433	13.8%
v	10340	6.4%
t	10102	6.2%
o	8876	5.5%
h	7807	4.8%
r	6581	4.1%
m	4286	2.6%
Other values (2)	4590	2.8%

Time_Difference_Minutes
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

5	8455
10	8190
15	8083

Length

Max length	2
Median length	2
Mean length	1.6580799
Min length	1

Characters and Unicode

Total characters	41001
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	15
2nd row	10
3rd row	10
4th row	15
5th row	10

Common Values

Value	Count	Frequency (%)
5	8455	34.2%
10	8190	33.1%
15	8083	32.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	8455	34.2%
10	8190	33.1%
15	8083	32.7%

Most occurring characters

Value	Count	Frequency (%)
5	16538	40.3%
1	16273	39.7%
0	8190	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41001	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	16538	40.3%
1	16273	39.7%
0	8190	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	41001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	16538	40.3%
1	16273	39.7%
0	8190	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	16538	40.3%
1	16273	39.7%
0	8190	20.0%

Order_Hour
Real number (ℝ)

Distinct	16
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.530249

Minimum	8
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	8
5-th percentile	9
Q1	15
median	19
Q3	21
95-th percentile	23
Maximum	23
Range	15
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.4705322
Coefficient of variation (CV)	0.25501818
Kurtosis	-0.51703344
Mean	17.530249
Median Absolute Deviation (MAD)	2
Skewness	-0.81100829
Sum	433488
Variance	19.985658
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
21	2724	11.0%
17	2696	10.9%
19	2646	10.7%
18	2646	10.7%
20	2600	10.5%
22	2560	10.4%
23	2225	9.0%
10	1142	4.6%
11	1122	4.5%
8	1088	4.4%
Other values (6)	3279	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	1088	4.4%
9	1063	4.3%
10	1142	4.6%
11	1122	4.5%
12	444	1.8%
13	430	1.7%
14	444	1.8%
15	480	1.9%
16	418	1.7%
17	2696	10.9%

Value	Count	Frequency (%)
23	2225	9.0%
22	2560	10.4%
21	2724	11.0%
20	2600	10.5%
19	2646	10.7%
18	2646	10.7%
17	2696	10.9%
16	418	1.7%
15	480	1.9%
14	444	1.8%

Order_Minute
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.478203

Minimum	10
Maximum	55
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	20
median	30
Q3	40
95-th percentile	55
Maximum	55
Range	45
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.626238
Coefficient of variation (CV)	0.44708143
Kurtosis	-1.0592838
Mean	30.478203
Median Absolute Deviation (MAD)	10
Skewness	0.15122836
Sum	753665
Variance	185.67437
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
35	2948	11.9%
40	2812	11.4%
20	2775	11.2%
10	2745	11.1%
25	2723	11.0%
30	2702	10.9%
15	2702	10.9%
45	1834	7.4%
50	1785	7.2%
55	1702	6.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	2745	11.1%
15	2702	10.9%
20	2775	11.2%
25	2723	11.0%
30	2702	10.9%
35	2948	11.9%
40	2812	11.4%
45	1834	7.4%
50	1785	7.2%
55	1702	6.9%

Value	Count	Frequency (%)
55	1702	6.9%
50	1785	7.2%
45	1834	7.4%
40	2812	11.4%
35	2948	11.9%
30	2702	10.9%
25	2723	11.0%
20	2775	11.2%
15	2702	10.9%
10	2745	11.1%

Picked_Hour
Real number (ℝ)

Distinct	16
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.634301

Minimum	8
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	8
5-th percentile	9
Q1	16
median	19
Q3	21
95-th percentile	23
Maximum	23
Range	15
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.4684358
Coefficient of variation (CV)	0.25339455
Kurtosis	-0.5094988
Mean	17.634301
Median Absolute Deviation (MAD)	2
Skewness	-0.81686673
Sum	436061
Variance	19.966918
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
18	2719	11.0%
21	2703	10.9%
20	2618	10.6%
22	2597	10.5%
19	2594	10.5%
23	2507	10.1%
17	2409	9.7%
10	1133	4.6%
11	1120	4.5%
9	1071	4.3%
Other values (6)	3257	13.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	962	3.9%
9	1071	4.3%
10	1133	4.6%
11	1120	4.5%
12	529	2.1%
13	419	1.7%
14	450	1.8%
15	470	1.9%
16	427	1.7%
17	2409	9.7%

Value	Count	Frequency (%)
23	2507	10.1%
22	2597	10.5%
21	2703	10.9%
20	2618	10.6%
19	2594	10.5%
18	2719	11.0%
17	2409	9.7%
16	427	1.7%
15	470	1.9%
14	450	1.8%

Picked_Minute
Real number (ℝ)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.159859

Minimum	5
Maximum	55
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	193.3 KiB

Quantile statistics

Minimum	5
5-th percentile	5
Q1	25
median	35
Q3	45
95-th percentile	55
Maximum	55
Range	50
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.604589
Coefficient of variation (CV)	0.42753656
Kurtosis	-0.78352747
Mean	34.159859
Median Absolute Deviation (MAD)	10
Skewness	-0.36910735
Sum	844705
Variance	213.29401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
30	2827	11.4%
45	2821	11.4%
50	2794	11.3%
40	2777	11.2%
55	2765	11.2%
25	2732	11.0%
35	2709	11.0%
20	1779	7.2%
5	1719	7.0%
15	951	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1719	7.0%
10	854	3.5%
15	951	3.8%
20	1779	7.2%
25	2732	11.0%
30	2827	11.4%
35	2709	11.0%
40	2777	11.2%
45	2821	11.4%
50	2794	11.3%

Value	Count	Frequency (%)
55	2765	11.2%
50	2794	11.3%
45	2821	11.4%
40	2777	11.2%
35	2709	11.0%
30	2827	11.4%
25	2732	11.0%
20	1779	7.2%
15	951	3.8%
10	854	3.5%

Auto

Heatmap
Table

	Delivery_person_Age	Delivery_person_Ratings	Restaurant_latitude	Restaurant_longitude	Delivery_location_latitude	Delivery_location_longitude	Time_taken (min)	Order_Hour	Order_Minute	Picked_Hour	Picked_Minute	Weather_conditions	Road_traffic_density	Vehicle_condition	Type_of_order	Type_of_vehicle	multiple_deliveries	Festival	City	Daytime	Time_Difference_Minutes
Delivery_person_Age	1.000	-0.104	0.004	0.013	0.004	0.013	0.305	0.004	0.000	0.003	0.000	0.014	0.000	0.000	0.000	0.000	0.074	0.068	0.059	0.000	0.014
Delivery_person_Ratings	-0.104	1.000	-0.002	0.004	-0.006	-0.001	-0.301	-0.028	0.007	-0.027	-0.000	0.088	0.088	0.103	0.000	0.063	0.096	0.076	0.055	0.079	0.000
Restaurant_latitude	0.004	-0.002	1.000	-0.146	0.997	-0.145	0.012	0.008	0.002	0.007	0.011	0.000	0.007	0.000	0.000	0.007	0.005	0.000	0.000	0.009	0.009
Restaurant_longitude	0.013	0.004	-0.146	1.000	-0.148	0.996	0.010	-0.006	0.004	-0.006	0.002	0.000	0.007	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.011
Delivery_location_latitude	0.004	-0.006	0.997	-0.148	1.000	-0.142	0.031	0.041	0.002	0.040	0.012	0.003	0.013	0.000	0.005	0.001	0.000	0.000	0.000	0.008	0.010
Delivery_location_longitude	0.013	-0.001	-0.145	0.996	-0.142	1.000	0.032	0.032	0.003	0.032	0.003	0.000	0.053	0.000	0.000	0.000	0.014	0.016	0.012	0.078	0.012
Time_taken (min)	0.305	-0.301	0.012	0.010	0.031	0.032	1.000	0.097	0.010	0.098	-0.009	0.138	0.261	0.224	0.000	0.130	0.335	0.422	0.287	0.184	0.000
Order_Hour	0.004	-0.028	0.008	-0.006	0.041	0.032	0.097	1.000	-0.030	0.995	0.030	0.000	0.948	0.000	0.002	0.000	0.102	0.122	0.076	0.945	0.007
Order_Minute	0.000	0.007	0.002	0.004	0.002	0.003	0.010	-0.030	1.000	0.018	0.402	0.008	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.232
Picked_Hour	0.003	-0.027	0.007	-0.006	0.040	0.032	0.098	0.995	0.018	1.000	-0.018	0.000	0.919	0.000	0.010	0.000	0.099	0.112	0.073	0.967	0.020
Picked_Minute	0.000	-0.000	0.011	0.002	0.012	0.003	-0.009	0.030	0.402	-0.018	1.000	0.001	0.029	0.000	0.000	0.000	0.000	0.000	0.008	0.032	0.302
Weather_conditions	0.014	0.088	0.000	0.000	0.003	0.000	0.138	0.000	0.008	0.000	0.001	1.000	0.000	0.000	0.000	0.000	0.066	0.063	0.041	0.000	0.000
Road_traffic_density	0.000	0.088	0.007	0.007	0.013	0.053	0.261	0.948	0.029	0.919	0.029	0.000	1.000	0.009	0.000	0.000	0.103	0.120	0.076	0.602	0.004
Vehicle_condition	0.000	0.103	0.000	0.000	0.000	0.000	0.224	0.000	0.000	0.000	0.000	0.000	0.009	1.000	0.006	0.493	0.093	0.103	0.067	0.000	0.004
Type_of_order	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.002	0.000	0.010	0.000	0.000	0.000	0.006	1.000	0.000	0.003	0.008	0.000	0.000	0.000
Type_of_vehicle	0.000	0.063	0.007	0.000	0.001	0.000	0.130	0.000	0.000	0.000	0.000	0.000	0.000	0.493	0.000	1.000	0.058	0.057	0.039	0.007	0.000
multiple_deliveries	0.074	0.096	0.005	0.010	0.000	0.014	0.335	0.102	0.000	0.099	0.000	0.066	0.103	0.093	0.003	0.058	1.000	0.202	0.137	0.069	0.000
Festival	0.068	0.076	0.000	0.000	0.000	0.016	0.422	0.122	0.000	0.112	0.000	0.063	0.120	0.103	0.008	0.057	0.202	1.000	0.116	0.061	0.000
City	0.059	0.055	0.000	0.000	0.000	0.012	0.287	0.076	0.000	0.073	0.008	0.041	0.076	0.067	0.000	0.039	0.137	0.116	1.000	0.050	0.000
Daytime	0.000	0.079	0.009	0.000	0.008	0.078	0.184	0.945	0.028	0.967	0.032	0.000	0.602	0.000	0.000	0.007	0.069	0.061	0.050	1.000	0.009
Time_Difference_Minutes	0.014	0.000	0.009	0.011	0.010	0.012	0.000	0.007	0.232	0.020	0.302	0.000	0.004	0.004	0.000	0.000	0.000	0.000	0.000	0.009	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Delivery_person_Age	Delivery_person_Ratings	Restaurant_latitude	Restaurant_longitude	Delivery_location_latitude	Delivery_location_longitude	Weather_conditions	Road_traffic_density	Vehicle_condition	Type_of_order	Type_of_vehicle	multiple_deliveries	Festival	City	Time_taken (min)	Daytime	Time_Difference_Minutes	Order_Hour	Order_Minute	Picked_Hour	Picked_Minute
0	36	4.2	30.327968	78.046106	30.397968	78.116106	Fog	Jam	2	Snack	motorcycle	3	No	Metropolitian	46	night	15	21	55	22	10
1	21	4.7	10.003064	76.307589	10.043064	76.347589	Stormy	High	1	Meal	motorcycle	1	No	Metropolitian	23	afternoon	10	14	55	15	5
2	34	4.3	30.899584	75.809346	30.919584	75.829346	Sandstorms	Low	0	Buffet	motorcycle	0	No	Metropolitian	20	morning	10	9	20	9	30
3	24	4.7	26.463504	80.372929	26.593504	80.502929	Fog	Jam	1	Snack	scooter	1	No	Metropolitian	41	evening	15	19	50	20	5
4	29	4.5	19.176269	72.836721	19.266269	72.926721	Sandstorms	Jam	2	Buffet	electric_scooter	1	No	Metropolitian	20	evening	10	20	25	20	35
5	35	4.0	12.311072	76.654878	12.351072	76.694878	Windy	High	1	Meal	scooter	1	No	Metropolitian	33	afternoon	15	14	55	15	10
6	33	4.2	18.592718	73.773572	18.702718	73.883572	Sandstorms	Jam	2	Snack	motorcycle	1	No	Metropolitian	40	evening	10	20	30	20	40
7	21	4.7	22.552672	88.352885	22.582672	88.382885	Windy	Jam	0	Meal	motorcycle	1	No	Urban	15	night	15	21	15	21	30
8	25	4.1	18.563934	73.915367	18.643935	73.995367	Sandstorms	Jam	0	Snack	motorcycle	2	No	Metropolitian	36	evening	5	20	20	20	25
9	31	4.7	23.357804	85.325146	23.487804	85.455146	Sandstorms	Low	2	Meal	electric_scooter	0	No	Metropolitian	26	night	15	22	30	22	45

	Delivery_person_Age	Delivery_person_Ratings	Restaurant_latitude	Restaurant_longitude	Delivery_location_latitude	Delivery_location_longitude	Weather_conditions	Road_traffic_density	Vehicle_condition	Type_of_order	Type_of_vehicle	multiple_deliveries	Festival	City	Time_taken (min)	Daytime	Time_Difference_Minutes	Order_Hour	Order_Minute	Picked_Hour	Picked_Minute
24718	21	4.8	19.103249	72.846749	19.133249	72.876749	Sunny	Low	2	Drinks	motorcycle	0	No	Metropolitian	22	night	5	22	15	22	20
24719	30	4.9	11.025083	77.015393	11.045083	77.035393	Windy	Low	1	Snack	motorcycle	1	No	Metropolitian	26	morning	15	10	25	10	40
24720	20	4.9	21.186608	72.794136	21.216608	72.824136	Sandstorms	Jam	2	Drinks	motorcycle	1	No	Urban	18	evening	15	20	25	20	40
24721	36	4.8	12.310972	76.659264	12.440972	76.789264	Sunny	Jam	2	Drinks	electric_scooter	1	No	Urban	29	night	10	21	10	21	20
24722	37	4.8	13.022394	80.242439	13.042394	80.262439	Sandstorms	Low	2	Drinks	electric_scooter	0	No	Metropolitian	20	morning	15	9	35	9	50
24723	30	4.2	26.469003	80.316344	26.539003	80.386344	Cloudy	Medium	1	Snack	motorcycle	2	Yes	Metropolitian	42	evening	15	18	10	18	25
24724	35	4.2	23.371292	85.327872	23.481292	85.437872	Windy	Jam	2	Drinks	motorcycle	1	No	Metropolitian	33	night	10	21	45	21	55
24725	30	4.8	26.902328	75.794257	26.912328	75.804257	Windy	High	1	Meal	motorcycle	0	No	Metropolitian	32	morning	10	11	35	11	45
24726	20	4.7	11.001753	76.986241	11.041753	77.026241	Cloudy	High	0	Snack	motorcycle	1	No	Metropolitian	26	afternoon	5	13	35	13	40
24727	23	4.9	23.351058	85.325731	23.431058	85.405731	Fog	Medium	2	Snack	scooter	1	No	Metropolitian	36	evening	5	17	10	17	15

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts